Classify One Image

Predictions

  • 99.92% backpack
  • 0.05% mouse
  • 0.02% headphones
  • 0.01% projector
  • 0.0% mug

Job Status Done

  • Initialized at 01:28:56 AM (1 second)
  • Running at 01:28:57 AM (5 seconds)
  • Done at 01:29:03 AM
    (Total - 6 seconds)
  • Initialized at 01:28:56 AM (1 second)
  • Running at 01:28:57 AM (5 seconds)
  • Done at 01:29:03 AM
    (Total - 6 seconds)

Notes

None

Description Statistics Visualization

data

Activation

Data shape: [ 3 227 227]
Mean: -63.2853
Std deviation: 73.6249
Value-222-44.5133050001000015000200002500030000-222-44.5133

scaled

Activation

Data shape: [ 3 227 227]
Mean: -0.247208
Std deviation: 0.287597
Value-0.868-0.1740.520050001000015000200002500030000-0.868-0.1740.520

bn0

Weights (BatchNorm layer)

6 learned parameters

Data shape: [1 3 1 1]
Mean: -0.000349584
Std deviation: 0.000141673
Value-0.000549-0.000393-0.00023600.10.20.30.40.50.60.70.80.911.1-0.000549-0.000393-0.000236

bn0

Activation

Data shape: [ 3 227 227]
Mean: -0.60547
Std deviation: 1.0617
Value-3.19-0.2932.60050001000015000200002500030000-3.19-0.2932.60

conv1

Weights (Convolution layer)

34,944 learned parameters

Data shape: [96 3 11 11]
Mean: -0.000134028
Std deviation: 0.0489355
Value-0.3790.07630.53202000400060008000100001200014000160001800020000-0.3790.07630.532

conv1

Activation

Data shape: [96 55 55]
Mean: 0.314191
Std deviation: 0.84063
Value0.0010.220.30500001000001500002000002500000.0010.220.3

pool1

Activation

Data shape: [96 27 27]
Mean: 0.695517
Std deviation: 1.42933
Value0.0010.220.30500010000150002000025000300003500040000450005000055000600000.0010.220.3

bn1

Weights (BatchNorm layer)

192 learned parameters

Data shape: [ 1 96 1 1]
Mean: 0.673499
Std deviation: 0.626546
Value0.001.503.000246810121416182022240.001.503.00

bn1

Activation

Data shape: [96 27 27]
Mean: 0.0971777
Std deviation: 0.223945
Value-0.4561.242.940500010000150002000025000300003500040000-0.4561.242.94

conv2

Weights (Convolution layer)

307,456 learned parameters

Data shape: [256 48 5 5]
Mean: -0.00122473
Std deviation: 0.0198231
Value-0.3730.05500.483020000400006000080000100000120000140000160000180000200000220000240000260000-0.3730.05500.483

conv2

Activation

Data shape: [256 27 27]
Mean: 0.0438289
Std deviation: 0.111987
Value0.001.182.350200004000060000800001000001200001400001600000.001.182.35

pool2

Activation

Data shape: [256 13 13]
Mean: 0.114209
Std deviation: 0.183151
Value0.001.182.350500010000150002000025000300000.001.182.35

bn2

Weights (BatchNorm layer)

512 learned parameters

Data shape: [ 1 256 1 1]
Mean: 0.104723
Std deviation: 0.0726979
Value0.002140.2300.45805101520253035400.002140.2300.458

bn2

Activation

Data shape: [256 13 13]
Mean: 0.0425225
Std deviation: 0.183126
Value-0.2532.635.52050001000015000200002500030000-0.2532.635.52

conv3

Weights (Convolution layer)

885,120 learned parameters

Data shape: [384 256 3 3]
Mean: -0.000619614
Std deviation: 0.0131063
Value-0.2000.02220.244050000100000150000200000250000300000350000400000450000-0.2000.02220.244

conv3

Activation

Data shape: [384 13 13]
Mean: 0.0385923
Std deviation: 0.0858678
Value0.000.9501.900500010000150002000025000300003500040000450005000055000600000.000.9501.90

bn3

Weights (BatchNorm layer)

768 learned parameters

Data shape: [ 1 384 1 1]
Mean: 0.0390524
Std deviation: 0.0312806
Value0.00008970.1700.33901020304050607080901001101200.00008970.1700.339

bn3

Activation

Data shape: [384 13 13]
Mean: 0.0281946
Std deviation: 0.205216
Value-0.4662.375.210500010000150002000025000300003500040000450005000055000-0.4662.375.21

conv4

Weights (Convolution layer)

663,936 learned parameters

Data shape: [384 192 3 3]
Mean: -0.00208361
Std deviation: 0.0135521
Value-0.1620.002000.166050000100000150000200000250000300000-0.1620.002000.166

conv4

Activation

Data shape: [384 13 13]
Mean: 0.0223638
Std deviation: 0.0613118
Value0.000.6601.320500010000150002000025000300003500040000450005000055000600000.000.6601.32

bn4

Weights (BatchNorm layer)

768 learned parameters

Data shape: [ 1 384 1 1]
Mean: 0.021647
Std deviation: 0.0269958
Value0.0002100.09880.1970204060801001201400.0002100.09880.197

bn4

Activation

Data shape: [384 13 13]
Mean: 0.0247575
Std deviation: 0.836754
Value-1.389.2920.005000100001500020000250003000035000400004500050000-1.389.2920.0

conv5

Weights (Convolution layer)

442,624 learned parameters

Data shape: [256 192 3 3]
Mean: -0.00118281
Std deviation: 0.0253082
Value-0.2870.1600.608050000100000150000200000250000300000-0.2870.1600.608

conv5

Activation

Data shape: [256 13 13]
Mean: 0.635405
Std deviation: 1.43804
Value0.0014.128.105000100001500020000250003000035000400000.0014.128.1

pool5

Activation

Data shape: [256 6 6]
Mean: 1.71355
Std deviation: 2.33697
Value0.0014.128.10500100015002000250030003500400045005000550060000.0014.128.1

fc6

Weights (InnerProduct layer)

37,752,832 learned parameters

Data shape: [4096 9216]
Mean: -9.16653e-05
Std deviation: 0.00398205
Value-0.04430.003390.0511020000004000000600000080000001000000012000000140000001600000018000000-0.04430.003390.0511
Not shown

fc6

Activation

Data shape: [4096]
Mean: 0.692464
Std deviation: 1.3693
Value0.005.3010.60500100015002000250030000.005.3010.6

fc7

Weights (InnerProduct layer)

16,781,312 learned parameters

Data shape: [4096 4096]
Mean: -0.000351828
Std deviation: 0.00599186
Value-0.02880.01590.06070500000100000015000002000000250000030000003500000400000045000005000000-0.02880.01590.0607
Not shown

fc7

Activation

Data shape: [4096]
Mean: 0.448466
Std deviation: 0.889237
Value0.003.026.030500100015002000250030000.003.026.03

fc8_new

Weights (InnerProduct layer)

127,007 learned parameters

Data shape: [ 31 4096]
Mean: 1.48066e-05
Std deviation: 0.0103634
Value-0.04300.004750.0525020004000600080001000012000140001600018000200002200024000-0.04300.004750.0525
Not shown

fc8

Activation

Data shape: [31]
Mean: 0.0632269
Std deviation: 3.84511
Value-3.355.6514.6012345678910111213-3.355.6514.6

softmax

Activation

Data shape: [31]
Mean: 0.0322581
Std deviation: 0.176536
Value1.54e-80.5000.9990510152025301.54e-80.5000.999
Totals Total learned parameters: 56,997,477